We present a dynamic approach to Peirce's original construal of abductive logic as a logic of conjecture making, and provide a new decidable, contraction-free and cut-free proof system for the dynamic ...
ABductive Learning (ABL) is a paradigm that integrates machine learning and logical reasoning in a unified framework. To facilitate the research and application of abductive learning, a research team ...
Contributions: He began his research in the field of automated theorem proving, developing both SL-resolution with Donald Kuehner and the connection graph proof procedure. Kowalski was one of the ...
Renowned forensic scientist Dr. Henry Lee spoke at CrimeCon 2022 to discuss the importance of logic in the criminal investigation process. Lee’s work has taken him around the world, assisting law ...
We propose a more explicit role for abductive reasoning, or the development of initial explanation, in hypothetico-deductive (H-D) inquiry. We begin by describing the roots of abduction in pragmatism ...
Arguments are sets of statements called premises followed by a conclusion. Arguments are used as a means of rationalizing decision making. It is incumbent upon the populace to evaluate arguments in ...
Answer Set Programming (ASP) and Logic Programming represent key paradigms in contemporary computer science, particularly in the field of artificial intelligence. ASP is a form of declarative ...